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Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?

Despite many recent advances in instrumentation, the sheer complexity of biological samples remains a major challenge in large-scale proteomics experiments, reflecting both the large number of protein isoforms and the wide dynamic range of their expression levels. However, while the dynamic range of...

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Detalles Bibliográficos
Autores principales: Bensaddek, Dalila, Nicolas, Armel, Lamond, Angus I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708065/
https://www.ncbi.nlm.nih.gov/pubmed/26869852
http://dx.doi.org/10.1016/j.ijms.2015.07.029
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author Bensaddek, Dalila
Nicolas, Armel
Lamond, Angus I.
author_facet Bensaddek, Dalila
Nicolas, Armel
Lamond, Angus I.
author_sort Bensaddek, Dalila
collection PubMed
description Despite many recent advances in instrumentation, the sheer complexity of biological samples remains a major challenge in large-scale proteomics experiments, reflecting both the large number of protein isoforms and the wide dynamic range of their expression levels. However, while the dynamic range of expression levels for different components of the proteome is estimated to be ∼10(7–8), the equivalent dynamic range of LC–MS is currently limited to ∼10(6). Sample pre-fractionation has therefore become routinely used in large-scale proteomics to reduce sample complexity during MS analysis and thus alleviate the problem of ion suppression and undersampling. There is currently a wide range of chromatographic techniques that can be applied as a first dimension separation. Here, we systematically evaluated the use of hydrophilic interaction liquid chromatography (HILIC), in comparison with hSAX, as a first dimension for peptide fractionation in a bottom-up proteomics workflow. The data indicate that in addition to its role as a useful pre-enrichment method for PTM analysis, HILIC can provide a robust, orthogonal and high-resolution method for increasing the depth of proteome coverage in large-scale proteomics experiments. The data also indicate that the choice of using either HILIC, hSAX, or other methods, is best made taking into account the specific types of biological analyses being performed.
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spelling pubmed-47080652016-02-09 Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses? Bensaddek, Dalila Nicolas, Armel Lamond, Angus I. Int J Mass Spectrom Article Despite many recent advances in instrumentation, the sheer complexity of biological samples remains a major challenge in large-scale proteomics experiments, reflecting both the large number of protein isoforms and the wide dynamic range of their expression levels. However, while the dynamic range of expression levels for different components of the proteome is estimated to be ∼10(7–8), the equivalent dynamic range of LC–MS is currently limited to ∼10(6). Sample pre-fractionation has therefore become routinely used in large-scale proteomics to reduce sample complexity during MS analysis and thus alleviate the problem of ion suppression and undersampling. There is currently a wide range of chromatographic techniques that can be applied as a first dimension separation. Here, we systematically evaluated the use of hydrophilic interaction liquid chromatography (HILIC), in comparison with hSAX, as a first dimension for peptide fractionation in a bottom-up proteomics workflow. The data indicate that in addition to its role as a useful pre-enrichment method for PTM analysis, HILIC can provide a robust, orthogonal and high-resolution method for increasing the depth of proteome coverage in large-scale proteomics experiments. The data also indicate that the choice of using either HILIC, hSAX, or other methods, is best made taking into account the specific types of biological analyses being performed. Elsevier 2015-11-30 /pmc/articles/PMC4708065/ /pubmed/26869852 http://dx.doi.org/10.1016/j.ijms.2015.07.029 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bensaddek, Dalila
Nicolas, Armel
Lamond, Angus I.
Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title_full Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title_fullStr Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title_full_unstemmed Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title_short Evaluating the use of HILIC in large-scale, multi dimensional proteomics: Horses for courses?
title_sort evaluating the use of hilic in large-scale, multi dimensional proteomics: horses for courses?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708065/
https://www.ncbi.nlm.nih.gov/pubmed/26869852
http://dx.doi.org/10.1016/j.ijms.2015.07.029
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